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Heat balance modelling and simulation of non-mixing buffer tank design for hydronic heating applications

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  • Li, Simon
  • Berrio, Denering
  • Fang, Yanda

Abstract

The purpose of this paper is twofold. First, it aims to develop a theoretical model for a non-mixing buffer tank system for hydronic heating applications. The traditional buffer tanks often involve water mixing where the boiler's hot water is mixed with the system's return water. This practice reduces the temperature differences (ΔT) through the boilers and the in-space heating equipment, bringing in concerns of their thermal performance. To address this concern, the non-mixing buffer tank system is designed with a movable separation plate in a buffer tank, which can store supply hot water and return cold water separately. The theoretical model of the non-mixing design explores the dynamics of water temperatures and the interactions of system components. As the second purpose, this paper then conducts a simulation study to compare both mixing and non-mixing designs under the same heating loads. As a result, it is observed that the non-mixing design can achieve better system efficiency (e.g., 86.7% versus 82.0% for low heating loads) due to better average boiler's efficiency (90.5% versus 86.8%) and longer cycle period (37.85 min vs. 9.27 min). In addition, the non-mixing design allows better control of supply water temperature, which can better support the outdoor reset control of boilers.

Suggested Citation

  • Li, Simon & Berrio, Denering & Fang, Yanda, 2022. "Heat balance modelling and simulation of non-mixing buffer tank design for hydronic heating applications," Energy, Elsevier, vol. 244(PB).
  • Handle: RePEc:eee:energy:v:244:y:2022:i:pb:s0360544222001165
    DOI: 10.1016/j.energy.2022.123213
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    References listed on IDEAS

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    1. Wu, J.Y. & Wang, J.L. & Li, S. & Wang, R.Z., 2014. "Experimental and simulative investigation of a micro-CCHP (micro combined cooling, heating and power) system with thermal management controller," Energy, Elsevier, vol. 68(C), pages 444-453.
    2. Alipour, Manijeh & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2014. "Short-term scheduling of combined heat and power generation units in the presence of demand response programs," Energy, Elsevier, vol. 71(C), pages 289-301.
    3. Rahman, Aowabin & Smith, Amanda D., 2018. "Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithms," Applied Energy, Elsevier, vol. 228(C), pages 108-121.
    4. Kopanos, Georgios M. & Georgiadis, Michael C. & Pistikopoulos, Efstratios N., 2013. "Energy production planning of a network of micro combined heat and power generators," Applied Energy, Elsevier, vol. 102(C), pages 1522-1534.
    5. Janar Kalder & Andres Annuk & Alo Allik & Eugen Kokin, 2018. "Increasing Solar Energy Usage for Dwelling Heating, Using Solar Collectors and Medium Sized Vacuum Insulated Storage Tank," Energies, MDPI, vol. 11(7), pages 1-9, July.
    6. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    7. Sebarchievici, Calin & Sarbu, Ioan, 2015. "Performance of an experimental ground-coupled heat pump system for heating, cooling and domestic hot-water operation," Renewable Energy, Elsevier, vol. 76(C), pages 148-159.
    8. Wood, Christopher J. & Liu, Hao & Riffat, Saffa B., 2010. "An investigation of the heat pump performance and ground temperature of a piled foundation heat exchanger system for a residential building," Energy, Elsevier, vol. 35(12), pages 4932-4940.
    Full references (including those not matched with items on IDEAS)

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